Statistical Methods and Computing for Big Data

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Statistical Methods and Computing for Big Data

27 February 2015

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Papers citing "Statistical Methods and Computing for Big Data"

18 / 18 papers shown

Title
A model-free subdata selection method for classification Rakhi Singh 156 0 0 29 Apr 2024
Approximating Partial Likelihood Estimators via Optimal SubsamplingJournal of Computational And Graphical Statistics (JCGS), 2022 Haixiang Zhang Lulu Zuo Haiying Wang Liuquan Sun 188 17 0 10 Oct 2022
Sequential Estimation under Multiple Resources: a Bandit Point of View Alireza Masoumian Shayan Kiyani Mohammad Hossein Yassaee 134 1 0 29 Sep 2021
How Many Online Workers are there in the World? A Data-Driven AssessmentOpen Research Europe (ORE), 2021 O. Kässi V. Lehdonvirta F. Stephany OnRL 107 81 0 23 Mar 2021
Divide-and-conquer methods for big data analysis Xueying Chen Jerry Q. Cheng Min‐ge Xie 139 9 0 22 Feb 2021
A Survey of Bayesian Statistical Approaches for Big Data Farzana Jahan Insha Ullah Kerrie Mengersen 213 15 0 08 Jun 2020
Subsampling Winner Algorithm for Feature Selection in Large Regression Data Yiying Fan Jiayang Sun 74 1 0 07 Feb 2020
Fitting Probabilistic Index Models on Large Datasets Han Bossier Gustavo Amorim J. D. Neve O. Thas 41 0 0 17 Aug 2018
Optimal Subsampling Algorithms for Big Data Regressions Mingyao Ai Jun Yu Huiming Zhang Haiying Wang 159 134 0 18 Jun 2018
Robust Fusion Methods for Structured Big Data C. Aaron A. Cholaquidis R. Fraiman B. Ghattas 54 0 0 05 Apr 2018
Parallel Statistical Computing with R: An Illustration on Two Architectures G. Ostrouchov Wei-Chen Chen Drew Schmidt SyDa 55 1 0 05 Sep 2017
On Scalable Inference with Stochastic Gradient Descent Yixin Fang Jinfeng Xu Lei Yang 68 10 0 01 Jul 2017
Robust Fusion Methods for Big Data C. Aaron A. Cholaquidis R. Fraiman B. Ghattas 75 1 0 29 May 2017
Additive Partially Linear Models for Massive Heterogeneous DataElectronic Journal of Statistics (EJS), 2017 Binhuan Wang Yixin Fang Heng Lian Hua Liang 114 8 0 13 Jan 2017
A Block Minorization--Maximization Algorithm for Heteroscedastic Regression Hien Nguyen Luke R. Lloyd‐Jones Geoffrey J. McLachlan 158 3 0 15 Mar 2016
Divide and Conquer Local Average Regression Xiangyu Chang Shaobo Lin Yao Wang MoMe 137 41 0 23 Jan 2016
Random Forests for Big Data Robin Genuer Jean-Michel Poggi Christine Tuleau-Malot N. Villa-Vialaneix 182 333 0 26 Nov 2015
Online Updating of Statistical Inference in the Big Data Setting E. Schifano Jing Wu C. Wang Jun Yan Ming-Hui Chen 122 179 0 23 May 2015